ALGER HEALTH Mutual Fund Forward View - Double Exponential Smoothing
| AHSCX Fund | USD 13.85 -0.07 -0.50% |
Momentum
Impartial
Oversold | Overbought |
This section relates Alger Health Sciences headline activity to recent price behavior and peer context.
The Double Exponential Smoothing forecasted value of Alger Health Sciences on the next trading day is expected to be 13.84 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 7.15.ALGER HEALTH after-hype prediction price | $ 13.85 |
Hype signals are presented as complementary context to forecasting, technicals, analyst estimates, earnings, and momentum.
ALGER |
ALGER HEALTH Additional Predictive Modules
Most predictive techniques to examine ALGER price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for ALGER using various technical indicators. When you analyze ALGER charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
ALGER HEALTH Double Exponential Smoothing Price Forecast For the 12th of March 2026
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Alger Health Sciences on the next trading day is expected to be 13.84 with a mean absolute deviation of 0.12 , mean absolute percentage error of 0.02 , and the sum of the absolute errors of 7.15 .Please note that although there have been many attempts to predict ALGER Mutual Fund prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that ALGER HEALTH's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
ALGER HEALTH Mutual Fund Forecast Pattern
| Backtest ALGER HEALTH | ALGER HEALTH Price Prediction | Research Analysis |
ALGER HEALTH Forecasted Value
This next-day forecast for Alger Health Sciences uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of ALGER HEALTH mutual fund data series using in forecasting. Note that when a statistical model is used to represent ALGER HEALTH mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | Huge |
| Bias | Arithmetic mean of the errors | 0.025 |
| MAD | Mean absolute deviation | 0.1192 |
| MAPE | Mean absolute percentage error | 0.0084 |
| SAE | Sum of the absolute errors | 7.1504 |
The concept of mean reversion suggests that ALGER HEALTH's price will eventually return toward its long-run average. High prices may deter value investors, while unusually low prices often attract buyers who anticipate a recovery.
ALGER HEALTH After-Hype Price Density Analysis
The price distribution graph for ALGER HEALTH visualizes the statistical uncertainty around our prediction model's output. Investors should interpret the full distribution of ALGER HEALTH's outcomes, not just the central tendency, when making decisions.
Next price density |
| Expected price to next headline |
ALGER HEALTH Estimiated After-Hype Price Volatility
The downside and upside margins for ALGER HEALTH after major news events are estimated from historical precedent. ALGER HEALTH's after-hype downside and upside margins for the prediction period are 12.85 and 14.85, respectively. This approach captures the empirical distribution of ALGER HEALTH's short-term price reactions without assuming any particular model of future behavior.
Current Value
The after-hype framework applied to Alger Health Sciences assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.
ALGER HEALTH Mutual Fund Price Outlook Analysis
Have you ever been surprised when a price of a Mutual Fund such as ALGER HEALTH is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading ALGER HEALTH backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Fund price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with ALGER HEALTH, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.00 | 1.00 | 0.00 | 0.00 | 4 Events | 1 Events | In 4 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
13.85 | 13.85 | 0.00 |
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ALGER HEALTH Hype Timeline
Alger Health Sciences is presently traded for 13.85. The fund stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. ALGER is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is presently at 0.0%. %. The volatility of related hype on ALGER HEALTH is about 83.73%, with the expected price after the next announcement by competition of 13.85. The fund last dividend was issued on the 18th of December 1970. Assuming a 90-day horizon the next forecasted press release will be in 4 days. Use Historical Fundamental Analysis of ALGER HEALTH to cross-verify projections for ALGER HEALTH. The historical view provides additional context.ALGER HEALTH Related Hype Analysis
The relationship between ALGER HEALTH and its sector peers means that news affecting one company often reverberates across ALGER HEALTH's competitive landscape. Tracking peer hype helps investors anticipate ALGER HEALTH's likely short-term price behavior.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| HLFNX | Hennessy Large Cap | 0.00 | 0 per month | 0.00 | -0.0025 | 2.56 | -2.57 | 13.92 | |
| RYFNX | Financial Services Fund | 0.00 | 0 per month | 0.00 | -0.05 | 1.21 | -1.65 | 4.27 | |
| ICFAX | Icon Financial Fund | -8.19 | 2 per month | 0.00 | -0.04 | 1.54 | -1.21 | 5.20 | |
| IAAEX | Transamerica Financial Life | -0.02 | 1 per month | 0.29 | 0.15 | 1.78 | -1.04 | 19.97 | |
| BTO | John Hancock Financial | -0.15 | 8 per month | 1.31 | 0.03 | 1.89 | -1.55 | 9.02 | |
| GCFSX | Gabelli Global Financial | 0.00 | 0 per month | 0.79 | 0.06 | 1.13 | -1.34 | 4.16 | |
| XFINX | Angel Oak Financial | 0.00 | 2 per month | 0.00 | -0.04 | 0.22 | -0.43 | 1.29 |
Other Forecasting Options for ALGER HEALTH
Whether a novice or experienced investor, anyone considering ALGER needs to understand the dynamics of ALGER HEALTH's price movement. Price charts for ALGER Mutual Fund contain a significant amount of noise that can distort investment decisions.ALGER HEALTH Related Equities
The following equities are related to ALGER HEALTH within the Health space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing ALGER HEALTH against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
ALGER HEALTH Market Strength Events
Analyzing market strength indicators for ALGER HEALTH enables investors to understand how the mutual fund performs relative to overall market momentum. These indicators are valuable tools for identifying when to enter or exit positions in Alger Health Sciences.
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 13.85 | |||
| Day Typical Price | 13.85 | |||
| Price Action Indicator | -0.04 | |||
| Period Momentum Indicator | -0.07 | |||
| Relative Strength Index | 45.18 |
ALGER HEALTH Risk Indicators
Identifying and analyzing ALGER HEALTH's key risk indicators is a foundational step in projecting how its price may evolve. This process helps investors quantify the risk associated with ALGER HEALTH's and decide how to manage it.
| Mean Deviation | 0.7707 | |||
| Semi Deviation | 0.8563 | |||
| Standard Deviation | 0.9817 | |||
| Variance | 0.9637 | |||
| Downside Variance | 0.825 | |||
| Semi Variance | 0.7333 | |||
| Expected Short fall | -0.95 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for ALGER HEALTH
Coverage intensity for Alger Health Sciences matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
